DuoGNN: A Scalable and Generalizable Graph Neural Network Architecture for Capturing Short-Range and Long-Range Node Interactions

DuoGNN is a scalable and generalizable graph neural network architecture that leverages topological measures to efficiently capture both short-range and long-range node interactions in any graph structure and density.